Columbia University Data Analytics Awareness Lunch & Learns with Altair
Long gone are the days when Engineering paired with Data Analytics, Artificial Intelligence (AI), and Machine Learning were only important to very few. Nowadays all industries are tasked to optimize their data utilization to engineer the best and most cost-effective products. But what if you're not an expert coder or data analyst? How can you navigate through this data science challenge?
Fortunately, software like Altair HyperWorks, and Altair RapidMiner can enable you to become a citizen data scientist no matter your coding and data experience. Enhance your capabilities, acquire the essential data science skills required for engineering or data science success, and position yourself for the most coveted opportunities of today and tomorrow.
In collaboration with Columbia University, Altair presents this lunch & learn series with the aim of helping faculty members comprehend the realms of data science and AI, whether for engineering or data science tasks. We delve into where these fields find practical applications within business and engineering processes, providing invaluable insights for educators and their students alike.
Note: Due to this being a busy time of year, the event is postponed and we will announce the dates soon...
Exploring Data Science to Improve and Speed Up Decision Making
Date: TBD
Presenter: Jeffrey Chowaniec Jr
Abstract: This presentation will feature a walkthrough of different data science applications for RapidMiner such as model building for various classification models, tools for analyzing time series data, and exploring extensions for text mining, NLP, and advanced data cleansing. The session will highlight what makes Altair RapidMiner the go-to platform for data science at the university level.
Accelerating Innovation with Engineering Simulation, Data Science, and AI
Date: TBD
Presenters: Dheeraj Vemula and Joseph Pajot
Abstract: With over three decades of software development expertise, Altair stands at the vanguard of today's most thrilling advancements in product design. Originating in computational physics, we've since ventured into scalable computing and machine learning. Our comprehensive suite empowers our users to methodically perform large-scale virtual experiments, extracting valuable insights from the data. Manufacturing companies see value via increased revenue by designing better products, faster, and by having the right data model for each stage of the development and operation of their products.